Test Sequence Generation and Optimization

Abstract

Numbers of software projects fail due to the improper or inefficient testing. Almost half of the software development cost is expended in software testing. It uses resources and in returns, it adds nothing to the product in terms of its functionality. Software testing remains the primary concern and technique used to gain consumer’s confidence in the software. Therefore, much research is going in the development of software testing techniques in order to significantly reduce the cost of developing software. Automatic generation of test is often desired to achieve the proper test coverage. The proposed methodology combines three important concepts software testing, ant colony optimization algorithm and basic class concepts to produce the optimized test sequence. The class contains useful information like number of methods used, number of attributes used, dependency relations with other classes. We have exploited all these important details and utilized them to generate the optimized test sequence.